{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8a885f37",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c4b44b54",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Invoice ID</th>\n",
       "      <th>Branch</th>\n",
       "      <th>City</th>\n",
       "      <th>Customer type</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Product line</th>\n",
       "      <th>Unit price</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>Tax 5%</th>\n",
       "      <th>Total</th>\n",
       "      <th>Date</th>\n",
       "      <th>Time</th>\n",
       "      <th>Payment</th>\n",
       "      <th>Cost of Goods sold</th>\n",
       "      <th>gross margin percentage</th>\n",
       "      <th>gross income</th>\n",
       "      <th>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>750-67-8428</td>\n",
       "      <td>A</td>\n",
       "      <td>Yangon</td>\n",
       "      <td>Member</td>\n",
       "      <td>Female</td>\n",
       "      <td>Health and beauty</td>\n",
       "      <td>74.69</td>\n",
       "      <td>7</td>\n",
       "      <td>26.1415</td>\n",
       "      <td>548.9715</td>\n",
       "      <td>01/05/2019</td>\n",
       "      <td>13:08</td>\n",
       "      <td>Ewallet</td>\n",
       "      <td>522.83</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>26.1415</td>\n",
       "      <td>9.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>226-31-3081</td>\n",
       "      <td>C</td>\n",
       "      <td>Naypyitaw</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Female</td>\n",
       "      <td>Electronic accessories</td>\n",
       "      <td>15.28</td>\n",
       "      <td>5</td>\n",
       "      <td>3.8200</td>\n",
       "      <td>80.2200</td>\n",
       "      <td>03/08/2019</td>\n",
       "      <td>10:29</td>\n",
       "      <td>Cash</td>\n",
       "      <td>76.40</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>3.8200</td>\n",
       "      <td>9.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>631-41-3108</td>\n",
       "      <td>A</td>\n",
       "      <td>Yangon</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Male</td>\n",
       "      <td>Home and lifestyle</td>\n",
       "      <td>46.33</td>\n",
       "      <td>7</td>\n",
       "      <td>16.2155</td>\n",
       "      <td>340.5255</td>\n",
       "      <td>03/03/2019</td>\n",
       "      <td>13:23</td>\n",
       "      <td>Credit card</td>\n",
       "      <td>324.31</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>16.2155</td>\n",
       "      <td>7.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>123-19-1176</td>\n",
       "      <td>A</td>\n",
       "      <td>Yangon</td>\n",
       "      <td>Member</td>\n",
       "      <td>Male</td>\n",
       "      <td>Health and beauty</td>\n",
       "      <td>58.22</td>\n",
       "      <td>8</td>\n",
       "      <td>23.2880</td>\n",
       "      <td>489.0480</td>\n",
       "      <td>1/27/2019</td>\n",
       "      <td>20:33</td>\n",
       "      <td>Ewallet</td>\n",
       "      <td>465.76</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>23.2880</td>\n",
       "      <td>8.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>373-73-7910</td>\n",
       "      <td>A</td>\n",
       "      <td>Yangon</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Male</td>\n",
       "      <td>Sports and travel</td>\n",
       "      <td>86.31</td>\n",
       "      <td>7</td>\n",
       "      <td>30.2085</td>\n",
       "      <td>634.3785</td>\n",
       "      <td>02/08/2019</td>\n",
       "      <td>10:37</td>\n",
       "      <td>Ewallet</td>\n",
       "      <td>604.17</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>30.2085</td>\n",
       "      <td>5.3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Invoice ID Branch       City Customer type  Gender  \\\n",
       "0  750-67-8428      A     Yangon        Member  Female   \n",
       "1  226-31-3081      C  Naypyitaw        Normal  Female   \n",
       "2  631-41-3108      A     Yangon        Normal    Male   \n",
       "3  123-19-1176      A     Yangon        Member    Male   \n",
       "4  373-73-7910      A     Yangon        Normal    Male   \n",
       "\n",
       "             Product line  Unit price  Quantity   Tax 5%     Total  \\\n",
       "0       Health and beauty       74.69         7  26.1415  548.9715   \n",
       "1  Electronic accessories       15.28         5   3.8200   80.2200   \n",
       "2      Home and lifestyle       46.33         7  16.2155  340.5255   \n",
       "3       Health and beauty       58.22         8  23.2880  489.0480   \n",
       "4       Sports and travel       86.31         7  30.2085  634.3785   \n",
       "\n",
       "         Date   Time      Payment  Cost of Goods sold  \\\n",
       "0  01/05/2019  13:08      Ewallet              522.83   \n",
       "1  03/08/2019  10:29         Cash               76.40   \n",
       "2  03/03/2019  13:23  Credit card              324.31   \n",
       "3   1/27/2019  20:33      Ewallet              465.76   \n",
       "4  02/08/2019  10:37      Ewallet              604.17   \n",
       "\n",
       "   gross margin percentage  gross income  Rating  \n",
       "0                 4.761905       26.1415     9.1  \n",
       "1                 4.761905        3.8200     9.6  \n",
       "2                 4.761905       16.2155     7.4  \n",
       "3                 4.761905       23.2880     8.4  \n",
       "4                 4.761905       30.2085     5.3  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"supermarket_sales.csv\")\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "839f7a24",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1000"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Invoice ID'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "57a63653",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1000, 17)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c93f29d3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1000 entries, 0 to 999\n",
      "Data columns (total 17 columns):\n",
      " #   Column                   Non-Null Count  Dtype  \n",
      "---  ------                   --------------  -----  \n",
      " 0   Invoice ID               1000 non-null   object \n",
      " 1   Branch                   1000 non-null   object \n",
      " 2   City                     1000 non-null   object \n",
      " 3   Customer type            1000 non-null   object \n",
      " 4   Gender                   1000 non-null   object \n",
      " 5   Product line             1000 non-null   object \n",
      " 6   Unit price               1000 non-null   float64\n",
      " 7   Quantity                 1000 non-null   int64  \n",
      " 8   Tax 5%                   1000 non-null   float64\n",
      " 9   Total                    1000 non-null   float64\n",
      " 10  Date                     1000 non-null   object \n",
      " 11  Time                     1000 non-null   object \n",
      " 12  Payment                  1000 non-null   object \n",
      " 13  Cost of Goods sold       1000 non-null   float64\n",
      " 14  gross margin percentage  1000 non-null   float64\n",
      " 15  gross income             1000 non-null   float64\n",
      " 16  Rating                   1000 non-null   float64\n",
      "dtypes: float64(7), int64(1), object(9)\n",
      "memory usage: 132.9+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "814c2c61",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "274b4155",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unit price</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>Tax 5%</th>\n",
       "      <th>Total</th>\n",
       "      <th>Cost of Goods sold</th>\n",
       "      <th>gross margin percentage</th>\n",
       "      <th>gross income</th>\n",
       "      <th>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.00000</td>\n",
       "      <td>1.000000e+03</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>55.672130</td>\n",
       "      <td>5.510000</td>\n",
       "      <td>15.379369</td>\n",
       "      <td>322.966749</td>\n",
       "      <td>307.58738</td>\n",
       "      <td>4.761905e+00</td>\n",
       "      <td>15.379369</td>\n",
       "      <td>6.97270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>26.494628</td>\n",
       "      <td>2.923431</td>\n",
       "      <td>11.708825</td>\n",
       "      <td>245.885335</td>\n",
       "      <td>234.17651</td>\n",
       "      <td>6.131498e-14</td>\n",
       "      <td>11.708825</td>\n",
       "      <td>1.71858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>10.080000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.508500</td>\n",
       "      <td>10.678500</td>\n",
       "      <td>10.17000</td>\n",
       "      <td>4.761905e+00</td>\n",
       "      <td>0.508500</td>\n",
       "      <td>4.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>32.875000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.924875</td>\n",
       "      <td>124.422375</td>\n",
       "      <td>118.49750</td>\n",
       "      <td>4.761905e+00</td>\n",
       "      <td>5.924875</td>\n",
       "      <td>5.50000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>55.230000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>12.088000</td>\n",
       "      <td>253.848000</td>\n",
       "      <td>241.76000</td>\n",
       "      <td>4.761905e+00</td>\n",
       "      <td>12.088000</td>\n",
       "      <td>7.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>77.935000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>22.445250</td>\n",
       "      <td>471.350250</td>\n",
       "      <td>448.90500</td>\n",
       "      <td>4.761905e+00</td>\n",
       "      <td>22.445250</td>\n",
       "      <td>8.50000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>99.960000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>49.650000</td>\n",
       "      <td>1042.650000</td>\n",
       "      <td>993.00000</td>\n",
       "      <td>4.761905e+00</td>\n",
       "      <td>49.650000</td>\n",
       "      <td>10.00000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Unit price     Quantity       Tax 5%        Total  Cost of Goods sold  \\\n",
       "count  1000.000000  1000.000000  1000.000000  1000.000000          1000.00000   \n",
       "mean     55.672130     5.510000    15.379369   322.966749           307.58738   \n",
       "std      26.494628     2.923431    11.708825   245.885335           234.17651   \n",
       "min      10.080000     1.000000     0.508500    10.678500            10.17000   \n",
       "25%      32.875000     3.000000     5.924875   124.422375           118.49750   \n",
       "50%      55.230000     5.000000    12.088000   253.848000           241.76000   \n",
       "75%      77.935000     8.000000    22.445250   471.350250           448.90500   \n",
       "max      99.960000    10.000000    49.650000  1042.650000           993.00000   \n",
       "\n",
       "       gross margin percentage  gross income      Rating  \n",
       "count             1.000000e+03   1000.000000  1000.00000  \n",
       "mean              4.761905e+00     15.379369     6.97270  \n",
       "std               6.131498e-14     11.708825     1.71858  \n",
       "min               4.761905e+00      0.508500     4.00000  \n",
       "25%               4.761905e+00      5.924875     5.50000  \n",
       "50%               4.761905e+00     12.088000     7.00000  \n",
       "75%               4.761905e+00     22.445250     8.50000  \n",
       "max               4.761905e+00     49.650000    10.00000  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "8f60e282",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Invoice ID', 'Branch', 'City', 'Customer type', 'Gender',\n",
       "       'Product line', 'Unit price', 'Quantity', 'Tax 5%', 'Total', 'Date',\n",
       "       'Time', 'Payment', 'Cost of Goods sold', 'gross margin percentage',\n",
       "       'gross income', 'Rating', 'Month', 'Day_of_Week', 'Season',\n",
       "       'Spending_Category', 'Profit_Margin', 'Hour',\n",
       "       'Average_Transaction_Value', 'Average_Profit_Per_Sale'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6d2df06b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Branch\n",
       "A    7.027059\n",
       "B    6.818072\n",
       "C    7.072866\n",
       "Name: Rating, dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('Branch')['Rating'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "59c5747b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pearson Correlation Coefficient: -0.015814904627166927\n"
     ]
    }
   ],
   "source": [
    "correlation_coefficient = df['Rating'].corr(df['Quantity'])\n",
    "print(f\"Pearson Correlation Coefficient: {correlation_coefficient}\")\n",
    "\n",
    "#very weak negative linear correlation \n",
    "#as the 'Rating' increases, the 'Quantity' tends to decrease, and vice versa."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "d7ae5e69",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average Transaction Value: 58.45573649999999\n",
      "Average Profit Per Sale: 2.7836065\n"
     ]
    }
   ],
   "source": [
    "# Example: Calculate KPIs\n",
    "df['Average_Transaction_Value'] = df['Total'] / df['Quantity']\n",
    "df['Average_Profit_Per_Sale'] = (df['Total'] - df['Cost of Goods sold']) / df['Quantity']\n",
    "\n",
    "# Print KPIs\n",
    "print(\"Average Transaction Value:\", df['Average_Transaction_Value'].mean())\n",
    "print(\"Average Profit Per Sale:\", df['Average_Profit_Per_Sale'].mean())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "66176e7f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Branch\n",
       "A    297.480029\n",
       "B    304.640482\n",
       "C    321.047348\n",
       "Name: Cost of Goods sold, dtype: float64"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('Branch')['Cost of Goods sold'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "055fcd8f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unique Ratings: [4.0, 4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0, 5.1, 5.2, 5.3, 5.4, 5.5, 5.6, 5.7, 5.8, 5.9, 6.0, 6.1, 6.2, 6.3, 6.4, 6.5, 6.6, 6.7, 6.8, 6.9, 7.0, 7.1, 7.2, 7.3, 7.4, 7.5, 7.6, 7.7, 7.8, 7.9, 8.0, 8.1, 8.2, 8.3, 8.4, 8.5, 8.6, 8.7, 8.8, 8.9, 9.0, 9.1, 9.2, 9.3, 9.4, 9.5, 9.6, 9.7, 9.8, 9.9, 10.0]\n"
     ]
    }
   ],
   "source": [
    "# Print all unique ratings - they are float points ranging from 4-10\n",
    "unique_ratings = df['Rating'].unique()\n",
    "print(\"Unique Ratings:\", sorted(unique_ratings))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "dc265489",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distribution of Ratings')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a histogram using seaborn seeing as there is a large number of values, we can put these into Bins\n",
    "sns.histplot(data=df, x='Rating', bins=20, kde=True, color='skyblue')\n",
    "plt.xlabel('Rating')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Distribution of Ratings')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "48d0a23d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distribution of Payment Methods')"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=df, x='Payment')\n",
    "plt.xlabel('Payment Method')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Distribution of Payment Methods')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "c1286f61",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Distribution of Payment Methods by Store')"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=df, x='Payment',hue='Branch')\n",
    "plt.xlabel('Payment Method')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Distribution of Payment Methods by Store')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "4ed4a4be",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\geeso\\AppData\\Local\\Temp\\ipykernel_34236\\2744718426.py:4: FutureWarning: \n",
      "\n",
      "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n",
      "\n",
      "  sns.barplot(data=df, x='Product line', y='Total', ci=None)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Product Line Analysis:\n",
    "\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.barplot(data=df, x='Product line', y='Total', ci=None)\n",
    "plt.xlabel('Product Line')\n",
    "plt.ylabel('Total Sales')\n",
    "plt.title('Total Sales by Product Line')\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "df208173",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\geeso\\AppData\\Local\\Temp\\ipykernel_34236\\1453489496.py:3: FutureWarning: \n",
      "\n",
      "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n",
      "\n",
      "  sns.barplot(data=df, x='Customer type', y='Total', hue='Gender', ci=None)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualise total sales by customer type and gender\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.barplot(data=df, x='Customer type', y='Total', hue='Gender', ci=None)\n",
    "plt.xlabel('Customer Type')\n",
    "plt.ylabel('Total Sales')\n",
    "plt.title('Total Sales by Customer Type and Gender')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "8e1db882",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Total Sales by Day of the Week')"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['Date'] = pd.to_datetime(df['Date'])\n",
    "df['Day_of_Week'] = df['Date'].dt.day_name()\n",
    "\n",
    "# Visualise total sales by day of the week\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.barplot(data=df, x='Day_of_Week', y='Total', order=['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'])\n",
    "plt.xlabel('Day of the Week')\n",
    "plt.ylabel('Total Sales')\n",
    "plt.title('Total Sales by Day of the Week')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "49619119",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Customer Segmentation based on Total Spending')"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Segmentation based on total spending\n",
    "df['Spending_Category'] = pd.cut(df['Total'], bins=[0, 100, 500, 1000, np.inf], labels=['Low', 'Medium', 'High', 'Very High'])\n",
    "\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.countplot(data=df, x='Spending_Category', hue='Customer type')\n",
    "plt.xlabel('Spending Category')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Customer Segmentation based on Total Spending')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "dba4f856",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Example: Hourly sales patterns\n",
    "df['Hour'] = pd.to_datetime(df['Time']).dt.hour\n",
    "\n",
    "# Visualise hourly sales patterns\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.lineplot(data=df, x='Hour', y='Total')\n",
    "plt.xlabel('Hour of the Day')\n",
    "plt.ylabel('Total Sales')\n",
    "plt.title('Hourly Sales Patterns')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f329f060",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
